# Markov Chain Monte Carlo

## A visual interpretation with Python

A Markov chain can be defined as a stochastic process Y in which the value at each point at time t depends only on the value at time t-1. It means that the probability for our stochastic process to have state x at time t, given all its past states, is equal to the probability of having state x at time t, given only its state at t-1.